The Department of Computer Science and Engineering organizing ATAL Online 6-Day Faculty Development Program on “Transforming Disaster Management and Resilience in Civil Engineering through Adaptive AI and Neuromorphic Computing”

ORGANIZING COMMITEE

Dr. J. Hemalatha Prof /CSE, AAACET

CO-COORDINATOR

DR. R. Raja Guru Prof /CSE, AAACET

About FDP

Transforming disaster management and resilience in civil engineering through adaptive AI and neuromorphic computing offers significant improvements in our ability to predict, respond to, and recover from disasters. Adaptive AI can analyze real-time data from various sources, identifying trends and risks to facilitate proactive measures and optimize infrastructure design for resilience against extreme events. Meanwhile, neuromorphic computing enhances data processing speed and efficiency, enabling real-time analysis that supports quicker decision-making during emergencies. Together, these technologies foster a more integrated approach to disaster preparedness. Smart infrastructure can adapt to changing conditions, allowing buildings and systems to respond dynamically to threats, such as adjusting structural integrity during tremors or rerouting power during storms.

TARGET AUDIENCE

The Faculty Members from Engineering/Arts & Science Colleges, Research scholars and PG students.

COURSE OBJECTIVES

• To increase the precision of early warning systems and disaster forecasts, create artificial intelligence (AI) algorithms that examine large datasets, such as meteorological and geological data.
• Process real-time data from satellites, drones, and Internet of Things sensors using neuromorphic computing to provide quick situational awareness.
• Use AI-driven models to optimize resource deployment (such as supply and emergency services) based on anticipated needs.
• Analyze a building’s or infrastructure’s structural resistance to several disaster scenarios using adaptive artificial intelligence.
• Based on real-time data analysis, use machine learning algorithms to prioritize recovery operations and estimate damage.
• Use AI to provide interactive resources for community education on resilience and preparedness for disasters.
• Create cutting-edge simulations for emergency response and civil engineering training utilizing artificial intelligence and neuromorphic computing.
• Evaluate the effects of catastrophe response tactics on the environment.

COURSE OUTCOMES

• Urban planning and policy-making that is well-informed and enhance resilience overtime.
• Disaster management approaches that are comprehensive take into account diverse perspectives and expertise.
• Strategies that balance the protection of ecosystems with effective disaster management.
• Preparedness improvement through realistic training scenarios that adapt to evolving situations.
• Increased public awareness and involvement in initiatives for disaster readiness.
• Quicker recovery processes and improved allocation of funds for rebuilding.
• Enhanced designs that are able to withstand disasters, reducing damage and recovery time.
• More efficient resource utilization leads to improved outcomes in disaster situations.
• Faster and more informed decision-making during disaster response and recovery.
• Timely alerts that can minimize loss of life and property by allowing proactive measures.

HOW TO APPLY:

The Registration for the FDP can be done through the ATAL academy Online Portal

Link : https://atalacademy.aicte-india.org/login

Registration Fee : ‘No Charge for Registration, Course and Certification’